PMaxxxer-v1-70B: benchmark results
ChuckMcSneed's TIES merge using Sao10K/WinterGoddess-1.4x-70B-L2 as its base, with Sao10K/Euryale-1.3-L2-70B, Xwin-LM/Xwin-LM-70B-V0.1 and cognitivecomputations/dolphin-2.2-70b as additional inputs. It is distinct from the complementary Maxxxer release and their larger BenchmaxxxerPS layer merge. Provider: ChuckMcSneed. Access: Open.
Aggregate Rating 1472 ± 33, rank #2811 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 70.39 | Accuracy (%) (5-shot) | 93.9 |
| Open LLM Leaderboard v1 - HellaSwag | 87.88 | Normalized accuracy (%) (10-shot) | 88.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 71.08 | Normalized accuracy (%) (25-shot) | 87.9 |
| Open LLM Leaderboard v1 - WinoGrande | 82.64 | Accuracy (%) (5-shot) | 85 |
| Open LLM Leaderboard v1 - GSM8K | 62.7 | Accuracy (%) (5-shot) | 76 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 59.77 | MC2 (%) (0-shot) | 74.3 |
Interactive version: theaggregate.ai/model?slug=pmaxxxer-v1-70b · How It Works · Data refreshed daily, snapshot 2026-11-08.